Bark (BARK) Shares Outstanding (Diluted) (2020 - 2026)
Bark's Weighted Average Shares Outstanding (Diluted) came in at 8.78 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.8% from 8.46 million a year earlier and up 2.8% from the prior quarter.
Bark (BARK) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Bark's Weighted Average Shares Outstanding (Diluted) was 8.54 million, down 2.0% from FY2025.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 29.8% (FY2021 to FY2026).
- Going back by fiscal year, Weighted Average Shares Outstanding (Diluted) was 8.72 million in FY2025 (-1.6%), 8.86 million in FY2024 (+0.3%), 8.84 million in FY2023 (+13.1%) and 7.81 million in FY2022 (+237.4%).
- The fiscal Q1 2027 figure represents the highest quarterly Weighted Average Shares Outstanding (Diluted) since fiscal Q4 2024.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) increased in 1 of the last eight quarters, with an average decline of 1.1%.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in fiscal Q2 2022 (growth of 285.7%), and the weakest in fiscal Q1 2026 (a decline of 3.6%).
- Business Quant data shows BARK's Weighted Average Shares Outstanding (Diluted) at 8.54 million (Q4 2026), 8.62 million (Q3 2026) and 8.54 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 2.20 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 1.28 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 256.31 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 1.19 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 537.90 Mn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 107.10 Mn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 269.40 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 551.07 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 410.10 Mn |
| 10 | Bark | 83.98 Mn | 7.93 Mn | 51.56 Mn | 8.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.93 Mn |
| Jun 30, 2026 | 8.78 Mn |
| Mar 31, 2026 | 8.54 Mn |
| Dec 31, 2025 | 8.62 Mn |
| Sep 30, 2025 | 8.54 Mn |
| Jun 30, 2025 | 8.46 Mn |
| Mar 31, 2025 | 8.72 Mn |
| Dec 31, 2024 | 8.78 Mn |
| Sep 30, 2024 | 8.75 Mn |
| Jun 30, 2024 | 8.78 Mn |
| Mar 31, 2024 | 8.86 Mn |
| Dec 31, 2023 | 8.78 Mn |
| Sep 30, 2023 | 8.85 Mn |
| Jun 30, 2023 | 8.88 Mn |
| Mar 31, 2023 | 8.84 Mn |
| Dec 31, 2022 | 8.88 Mn |
| Sep 30, 2022 | 8.82 Mn |
| Jun 30, 2022 | 8.77 Mn |
| Mar 31, 2022 | 7.81 Mn |
| Dec 31, 2021 | 8.63 Mn |
Bark Shares Outstanding (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=BARK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BARK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=BARK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();